langchain

Commit Graph

Author	SHA1	Message	Date
Isaac Francisco	d40bdd6257	docs: more indexing of document loaders (#25500 ) Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 month ago
Bagatur	8a71f1b41b	core[minor]: add langsmith document loader (#25493 ) needs tests	1 month ago
Bob Merkus	8e3e532e7d	docs: ollama doc update (toolcalling, install, notebook examples) (#25549 ) The new `langchain-ollama` package seems pretty well implemented, but I noticed the docs were still outdated so I decided to fix em up a bit. - Llama3.1 was release on 23rd of July; https://ai.meta.com/blog/meta-llama-3-1/ - Ollama supports tool calling since 25th of July; https://ollama.com/blog/tool-support - LangChain Ollama partner package was released 1st of august; https://pypi.org/project/langchain-ollama/ Problem: Docs note langchain-community instead of langchain-ollama Solution: Update docs to https://python.langchain.com/v0.2/docs/integrations/chat/ollama/ Problem: OllamaFunctions is deprecated, as noted on [Integrations](https://python.langchain.com/v0.2/docs/integrations/chat/ollama_functions/): This was an experimental wrapper that attempts to bolt-on tool calling support to models that do not natively support it. The [primary Ollama integration](https://python.langchain.com/v0.2/docs/integrations/chat/ollama/) now supports tool calling, and should be used instead. Solution: Delete old notebook from repo, update the existing one with @tool decorator + pydantic examples to the notebook Problem: Llama3.1 was released while llama3-groq-tool-call fine-tune Is noted in notebooks. Solution: update docs + notebooks to llama3.1 (which has improved tool calling support) Problem: Install instructions are incomplete, there is no information to download a model and/or run the Ollama server Solution: Add simple instructions to start the ollama service and pull model (for toolcalling) --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 month ago
Jabir	12e490ea56	Update azuresearch.py (#25577 ) This will allow complextype metadata to be returned. the current implementation throws error when dealing with nested metadata Thank you for contributing to LangChain! - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 month ago
Abraham Omorogbe	498a482e76	docs: Adding Azure Database for PostgreSQL docs (#25560 ) This PR to show support for the Azure Database for PostgreSQL Vector Store and Memory [Azure Database for PostgreSQL - Flexible Server](https://learn.microsoft.com/en-us/azure/postgresql/flexible-server/service-overview) [Azure Database for PostgreSQL pgvector extension](https://learn.microsoft.com/en-us/azure/postgresql/flexible-server/how-to-use-pgvector) Description: Added vector store and memory usage documentation for Azure Database for PostgreSQL Twitter handle: [@_aiabe](https://x.com/_aiabe) --------- Co-authored-by: Abeomor <{ID}+{username}@users.noreply.github.com>	1 month ago
Leonid Ganeline	d324fd1821	docs: added Constitutional AI references (#25553 ) Added reference to the source paper.	1 month ago
Bagatur	4bd005adb6	core[patch]: Allow bound models as token_counter in trim_messages (#25563 )	1 month ago
Erick Friis	e01c6789c4	core,community: add beta decorator to missed GraphVectorStore extensions (#25562 )	1 month ago
Erick Friis	dd2d094adc	infra: remove huggingface from ci tree (#25559 )	1 month ago
Bagatur	6b98207eda	infra: test chat prompt ser/des (#25557 )	1 month ago
ccurme	c5bf114c0f	together, standard-tests: specify tool_choice in standard tests (#25548 ) Here we allow standard tests to specify a value for `tool_choice` via a `tool_choice_value` property, which defaults to None. Chat models [available in Together](https://docs.together.ai/docs/chat-models) have issues passing standard tool calling tests: - llama 3.1 models currently [appear to rely on user-side parsing](https://docs.together.ai/docs/llama-3-function-calling) in Together; - Mixtral-8x7B and Mistral-7B (currently tested) consistently do not call tools in some tests. Specifying tool_choice also lets us remove an existing `xfail` and use a smaller model in Groq tests.	1 month ago
maang-h	015ab91b83	community[patch]: Add ToolMessage for ChatZhipuAI (#25547 ) - Description: Add ToolMessage for `ChatZhipuAI` to solve the issue #25490	1 month ago
ccurme	5a3aaae6dc	groq[patch]: update model used for llama tests (#25542 ) `llama-3.1-8b-instant` often fails some of the tool calling standard tests. Here we update to `llama-3.1-70b-versatile`.	1 month ago
Mohammad Mohtashim	75c3c81b8c	[Community]: Fix - Open AI Whisper `client.audio.transcriptions` returning Text Object which raises error (#25271 ) - Description: The following [line](`fd546196ef/libs/community/langchain_community/document_loaders/parsers/audio.py (L117)`) in `OpenAIWhisperParser` returns a text object for some odd reason despite the official documentation saying it should return `Transcript` Instance which should have the text attribute. But for the example given in the issue and even when I tried running on my own, I was directly getting the text. The small PR accounts for that. - Issue: : #25218 I was able to replicate the error even without the GenericLoader as shown below and the issue was with `OpenAIWhisperParser` ```python parser = OpenAIWhisperParser(api_key="sk-fxxxxxxxxx", response_format="srt", temperature=0) list(parser.lazy_parse(Blob.from_path('path_to_file.m4a'))) ```	1 month ago
Thin red line 未来产品经理	0f7b8adddf	fix issue: cannot use document_variable_name to override context in create_stuff_documents_chain (#25531 ) …he prompt in the create_stuff_documents_chain Thank you for contributing to LangChain! - [ ] PR title: "langchain:add document_variable_name in the function _validate_prompt in create_stuff_documents_chain" - [ ] PR message: - Description: add document_variable_name in the function _validate_prompt in create_stuff_documents_chain - Issue: according to the description of create_stuff_documents_chain function, the parameter document_variable_name can be used to override the "context" in the prompt, but in the function, _validate_prompt it still use DOCUMENTS_KEY to check if it is a valid prompt, the value of DOCUMENTS_KEY is always "context", so even through the user use document_variable_name to override it, the code still tries to check if "context" is in the prompt, and finally it reports error. so I use document_variable_name to replace DOCUMENTS_KEY, the default value of document_variable_name is "context" which is same as DOCUMENTS_KEY, but it can be override by users. - Dependencies: none - Twitter handle: https://x.com/xjr199703 - [ ] Add tests and docs: none - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 month ago
ccurme	09c0823c3a	docs: update summarization guides (#25408 )	1 month ago
maang-h	32f5147523	docs: Fix QianfanLLMEndpoint and Tongyi input text (#25529 ) - Description: Fix `QianfanLLMEndpoint` and `Tongyi` input text.	1 month ago
ZhangShenao	4255a30f20	Improvement[Community] Improve api doc for `SingleFileFacebookMessengerChatLoader` (#25536 ) Delete redundant args in api doc	1 month ago
Bagatur	49dea06af1	docs: fix Agent deprecation msg (#25464 )	1 month ago
Hassan El Mghari	937b3904eb	together[patch]: update base url (#25524 ) Updated the Together base URL from `.ai` to `.xyz` since some customers have reported problems with `.ai`.	1 month ago
gbaian10	bda3becbe7	docs: add prompt to install beautifulsoup4. (#25518 ) fix: #25482 - Description: Add a prompt to install beautifulsoup4 in places where `from langchain_community.document_loaders import WebBaseLoader` is used. - Issue: #25482	1 month ago
gbaian10	f6e6a17878	docs: add prompt to install nltk (#25519 ) fix: #25473 - Description: add prompt to install nltk - Issue: #25473	1 month ago
Chengzu Ou	c1bd4e05bc	docs: fix Databricks Vector Search demo notebook (#25504 ) Description: This PR fixes an issue in the demo notebook of Databricks Vector Search in "Work with Delta Sync Index" section. Issue: N/A Dependencies: N/A --------- Co-authored-by: Chengzu Ou <chengzu.ou@databrick.com> Co-authored-by: Erick Friis <erick@langchain.dev>	1 month ago
Isaac Francisco	a2e90a5a43	add embeddings integration tests (#25508 )	1 month ago
Bagatur	a06818a654	openai[patch]: update core dep (#25502 )	1 month ago
Bagatur	df98552b6f	core[patch]: Release 0.2.33 (#25498 )	1 month ago
ccurme	b83f1eb0d5	core, partners: implement standard tracing params for LLMs (#25410 )	1 month ago
Bagatur	9f0c76bf89	openai[patch]: Release 0.1.22 (#25496 )	1 month ago
ccurme	01ecd0acba	openai[patch]: fix json mode for Azure (#25488 ) https://github.com/langchain-ai/langchain/issues/25479 https://github.com/langchain-ai/langchain/issues/25485 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 month ago
Eugene Yurtsev	1fd1c1dca5	docs: use .invoke rather than __call__ in openai integration notebook (#25494 ) Documentation should be using .invoke()	1 month ago
Bagatur	253ceca76a	docs: fix mimetype parser docstring (#25463 )	1 month ago
Eugene Yurtsev	e18511bb22	core[minor], anthropic[patch]: Upgrade @root_validator usage to be consistent with pydantic 2 (#25457 ) anthropic: Upgrade `@root_validator` usage to be consistent with pydantic 2 core: support looking up multiple keys from env in from_env factory	1 month ago
Eugene Yurtsev	34da8be60b	pinecone[patch]: Upgrade @root_validators to be consistent with pydantic 2 (#25453 ) Upgrade root validators for pydantic 2 migration	1 month ago
Eugene Yurtsev	b297af5482	voyageai[patch]: Upgrade root validators for pydantic 2 (#25455 ) Update @root_validators to be consistent with pydantic 2 semantics	1 month ago
Eugene Yurtsev	4cdaca67dc	ai21[patch]: Upgrade @root_validators for pydantic 2 migration (#25454 ) Upgrade @root_validators usage to match pydantic 2 semantics	1 month ago
Eugene Yurtsev	d72a08a60d	groq[patch]: Update root validators for pydantic 2 migration (#25402 )	1 month ago
Leonid Ganeline	8eb63a609e	docs: `arxiv` page update (#25450 ) Added `arxive` papers that use `LangGraph` or `LangSmith`. Improved the page formatting.	1 month ago
Isaac Francisco	5150ec3a04	[experimental]: minor fix to open assistants code (#24682 )	1 month ago
Bagatur	2b4fbcb4b4	docs: format oai embeddings docstring (#25448 )	1 month ago
Eugene Yurtsev	eb3870e9d8	fireworks[patch]: Upgrade @root_validators to be pydantic 2 compliant (#25443 ) Update @root_validators to be pydantic 2 compliant	1 month ago
William FH	75ae585deb	Merge support for group manager (#25360 )	1 month ago
Eugene Yurtsev	b7c070d437	docs[patch]: Update code that checks API keys (#25444 ) Check whether the API key is already in the environment Update: ```python import getpass import os os.environ["DATABRICKS_HOST"] = "https://your-workspace.cloud.databricks.com" os.environ["DATABRICKS_TOKEN"] = getpass.getpass("Enter your Databricks access token: ") ``` To: ```python import getpass import os os.environ["DATABRICKS_HOST"] = "https://your-workspace.cloud.databricks.com" if "DATABRICKS_TOKEN" not in os.environ: os.environ["DATABRICKS_TOKEN"] = getpass.getpass( "Enter your Databricks access token: " ) ``` grit migration: ``` engine marzano(0.1) language python `os.environ[$Q] = getpass.getpass("$X")` as $CHECK where { $CHECK <: ! within if_statement(), $CHECK => `if $Q not in os.environ:\n $CHECK` } ```	1 month ago
Bagatur	60b65528c5	docs: fix api ref mod links in pkg page (#25447 )	1 month ago
Eugene Yurtsev	2ef9d12372	mistralai[patch]: Update more @root_validators for pydantic 2 compatibility (#25446 ) Update @root_validators in mistralai integration for pydantic 2 compatibility	1 month ago
Eugene Yurtsev	6910b0b3aa	docs[patch]: Fix integration notebook for Fireworks llm (#25442 ) Fix integration notebook	1 month ago
Eugene Yurtsev	831708beb7	together[patch]: Update @root_validator for pydantic 2 compatibility (#25423 ) This PR updates usage of @root_validator to be compatible with pydantic 2.	1 month ago
Eugene Yurtsev	a114255b82	ai21[patch]: Update @root_validators for pydantic2 migration (#25401 ) Update @root_validators for pydantic 2 migration.	1 month ago
Eugene Yurtsev	6f68c8d6ab	mistralai[patch]: Update root validator for compatibility with pydantic 2 (#25403 )	1 month ago
ccurme	8afbab4cf6	langchain[patch]: deprecate various chains (#25310 ) - [x] NatbotChain: move to community, deprecate langchain version. Update to use `prompt \| llm \| output_parser` instead of LLMChain. - [x] LLMMathChain: deprecate + add langgraph replacement example to API ref - [x] HypotheticalDocumentEmbedder (retriever): update to use `prompt \| llm \| output_parser` instead of LLMChain - [x] FlareChain: update to use `prompt \| llm \| output_parser` instead of LLMChain - [x] ConstitutionalChain: deprecate + add langgraph replacement example to API ref - [x] LLMChainExtractor (document compressor): update to use `prompt \| llm \| output_parser` instead of LLMChain - [x] LLMChainFilter (document compressor): update to use `prompt \| llm \| output_parser` instead of LLMChain - [x] RePhraseQueryRetriever (retriever): update to use `prompt \| llm \| output_parser` instead of LLMChain	1 month ago
Luke	66e30efa61	experimental: Fix divide by 0 error (#25439 ) Within the semantic chunker, when calling `_threshold_from_clusters` there is the possibility for a divide by 0 error if the `number_of_chunks` is equal to the length of `distances`. Fix simply implements a check if these values match to prevent the error and enable chunking to continue.	1 month ago

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11138 Commits (3555882a0de152fd621c44d9f3fafba6386a0f1c) All Branches Search

11138 Commits (3555882a0de152fd621c44d9f3fafba6386a0f1c)

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